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Revised Syllabus & Admission Rules for Two-year M.Sc. Course
&
Regulations for the M.Sc. Examinations
in
STATISTICS
 

The papers for the two-year M.Sc. course in Statistics and their contents are detailed in the following pages.

A student will be eligible for admission to the course if he/she is an Honours graduate in Statistics from Calcutta University or has passed the B.Sc. (Honours) in Statistics /B.Stat examination securing 60% marks in the aggregate from any other University/Institution.

The regulations for the Part I Examination are as follows :

1. The Part I Examination to be held at the completion of the First Year will comprise of 500 marks, 350 of which will be on Theoretical Papers and the remaining 150 on Practicals.
2. The first three theoretical papers I, II, and III are each split into two parts A & B, each part comprising of 50 marks. Theoretical paper IV will be of 50 marks. The duration of examination for each of the Papers IA, IB, IIA, IIB, IIIA, IIIB & IV will be 2:30 hours.
3. The duration of Examination for Practical Section I, Section II and Statistical Computing will be 4.00 hours each. There will be continuous assessment of students on the basis of their performances in Practical classes.
4. A candidate need to secure 35% or more marks (i.e. 123 marks or more) out of the 350 marks in the Theoretical Papers and 40% or more marks (i.e. 60 marks or more) out of the 150 marks in the Practical to qualify for the Second Year.


The regulations for the Part II Examinations are as follows :

1. The Part II Examination to be held at the completion of the Second Year will comprise of 500 marks, 350 of which will be on Theoretical Papers and the remaining 150 on Practicals.
2. The first two theoretical papers V and VI are each split into two parts A & B, each comprising of 50 marks. Theoretical Papers VII, VIII & IX will comprise of 50 marks each. The duration of examination for each of the Papers VA, VB, VIA, VIB, VII, VIII & IX will be 2:30 hours.
3. The duration of examination for the Practical Section I and Section II will be 4.00 hours each. There will be continuous assessment of students on the basis of their performances in the Practical classes. The Project Work will have to be presented in a Seminar held for the purpose and a copy of the work need to be submitted prior to the date of presentation.
4. A candidate need to secure 40% or more marks in overall aggregate (i.e. Part I & Part II combined) in the theoretical papers (i.e. 280 marks out of 700), and 40% or more marks in aggregate in the Practical (i.e. 120 marks out of 300 marks), to be declared as Passed in the M.Sc. Examination. A candidate securing 60 % or more marks in the aggregate (i.e. 600 out of the total 1000) will be declared as passed in the First Class.

 
   Part I Examination  Theoretical.  Marks:350 
   Paper -IA  Real Analysis   Marks:50 
   Paper -IB  Probability   Marks:50 
   Paper -IIA  Large Sample Theory and Sampling Distributions   Marks:50 
   Paper -IIB  Statistical Inference I   Marks:50 
   Paper -IIIA  Linear Models and Regression Analysis   Marks:50 
   Paper -IIIB  Design of Experiments   Marks:50 
   Paper -IV  Sample Surveys and Statistics for National Development   Marks:50 
   Part I Examination  Practical.  Marks:150 
   Statistical Computing    Marks:50 
   Section - I  Based on topics in theoretical papers IIA,IIB and IIIA   Marks:30 
   Section - II  Based on topics in theoretical papers IIIB and IV   Marks:30 
   Continuous Assessment    Marks:30 
   Viva-Voce    Marks:10 
   Part II Examination  Theoretical.  Marks:350 

There will be two common full papers (V, VI), each comprising of two units (A & B). Besides, there will be three special (elective) half-papers (VII – IX), each comprising of one unit.

The choice of the 3 elective papers should be made as follows :
1. A student should first choose one of the modules listed below.
2. He/she should then have to take the first two papers of that module which are compulsory and can choose a third paper from among the other papers in that module that are on offer in that year (there may in certain cases be a single optional third paper, in which case it becomes compulsory for that module). However, the modules, as also the optional papers within a module, that are to be actually offered in a particular year, will be decided by the Department.

 
   Paper-VA  Statistical Inference II   Marks:50 
   Paper-VB  Stochastic Process and Time Series Analysis   Marks:50 
   Paper-VIA  Applied Multivariate Analysis   Marks:50 
   Paper-VIB  Generalized Linear Models and Data Analytic Techniques   Marks:50 
   Paper-VII  Elective Paper   Marks:50 
   Paper-VIII  Elective Paper   Marks:50 
   Paper-IX  Elective Paper   Marks:50 
   Part II Examination  Practical.  Marks:150 
   Project Work    Marks:50 
   Section-I  Based on the topics in the common theoritical papers VA,VB,VIA,VIIB   Marks:30 
   Section-II  Based on the topics in the elective theoritical papers VII,VIII,IX   Marks:30 
   Continuous Assessment    Marks:30 
   Viva-Voce    Marks:10 

Module 1: ( Advanced Statistical Inference )
1. Advanced Statistical Inference.
2. Bayesian Analysis and Semiparametric Analysis.
3. Nonparametric Methods.

Module 2 : ( Advanced Statistical Methods )
1. Advanced Design of Experiments.
2. Advanced Sample Survey.
3. Advanced Multivariate Analysis / Advanced Regression Analysis.

Module 3 : ( Biostatistics )
1. Statistical Genomics & Bioassay.
2. Survival Analysis & Clinical Trials.
3. Epidemiology / Demography.

Module 4 : ( Economic Statistics )
1. Econometrics.
2. Advanced Time Series Analysis.
3. Applied Stochastic Models and Finance / Advanced Regression Analysis.

Module 5 : (Quality Management & Operations Research )
1. Elements of Statistical Quality Management & Reliability.
2. Operations Research.
3. Statistical Process Control / Advanced Operations Research / Optimization Techniques / Advanced Reliability.

The examination time for all theoretical papers will be 2 ½ hours each.
The examination time for each Practical Section and the Statistical Computing Paper will be 4 hours.
The Project work will be examined on the basis of a presentation to be made by the student in a seminar organised for the purpose. The material of the work is to be submitted prior to the date of presentation.

M. Phil. programme in Computer Application of Statistics 
Course Outline
 
   Written Examination Based On Course Work  -  Marks:200 
   Paper -1  Contents: Introduction to Computer and Computing, Number Systems, Numerical Methods, C and C++ Languages
Number of lectures ::42
 
Marks:50 
   Paper - 2  Contents: Advance Statistical Techniques, Use of Statistical Packages
Number of lectures ::40
 
Marks:50 
   Program Lab:1  1. On C-Language (Numerical/Statistical Techniques).
2. On Statistical Packages.
 
_________
   Paper -3  Contents: Unix Oparating System, Data and File Stucture, Relational database Concepts and Statistical database, Networking.
Number of lectures ::50
 
Marks:50 
   Paper -4  Contents: Elements of software Engineering including System design and Software Quality and Reliability, Application of Statistics in different fields and the use of related computer packages.
Number of lectures ::40
 
Marks:50 
   Program Lab:2  1. data and File Structure using C Language
2. Use of packages for RDBMS and Applications.
 
_________
   Internal Assessment  -  Marks:100 
   Dissertation / Project Work  -  Marks:100 
   Viva Voce  -  Marks:100 
Full Marks for the Course :: 500
Course Duration: 11/2 years to 2 years.
 
 
   
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